Big Tech’s Business Model: Extracting You

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Are We Living in the Age of Extraction?

For years, the bargain offered by the internet appeared remarkably generous.

Search the world’s information for free. Connect with friends without paying. Upload photographs, publish videos, find customers, navigate cities and access increasingly powerful artificial intelligence systems at little or no immediate cost.

Tim Wu thinks we have misunderstood the economics of that bargain.

The Columbia University law professor, antitrust scholar and former White House adviser calls our current moment “The Age of Extraction”.

His argument is not that technology has stopped creating value. Quite the opposite. Digital platforms have created extraordinary conveniences and opportunities.

The problem, Wu argues, is what happened once a relatively small number of platforms became powerful enough to sit between enormous numbers of people and the digital economy.

The platform stopped being merely a useful service.

It became a tollbooth.

What Does “Extraction” Actually Mean?

Traditional businesses are relatively easy to understand. A company makes something, the customer decides whether it is worth the price, money changes hands and the transaction is completed.

Digital platforms complicate that relationship.

You may receive a service without directly paying for it, but the economic exchange has not disappeared.

Your attention can be monetised through advertising. Your behaviour can produce valuable data. Businesses may pay to reach audiences assembled by platforms. Creators can produce the content that keeps other users returning. Sellers may become dependent on marketplaces that determine how easily customers can find them.

The platform sits in the middle of these relationships and can extract value from the activity flowing through it.

That is considerably more interesting than the familiar phrase: “If you’re not paying for the product, you are the product.”

Wu’s argument is about economic power.

From Building the Market to Owning the Market

Platforms can be enormously useful precisely because they bring people together.

A marketplace becomes more valuable when it has more buyers and sellers. A social network becomes more useful when your friends are already there. A search engine improves as it processes enormous quantities of information.

These network effects can create extraordinary businesses.

They can also create extraordinary power.

Once a platform becomes the place where customers, businesses, advertisers, creators or developers need to be, leaving becomes increasingly difficult.

The relationship begins to change.

A platform that once competed aggressively to attract participants can increasingly determine the conditions under which those participants operate.

Fees can increase. Advertising can become more prominent. Businesses may have to pay for visibility. Creators can become dependent on recommendation algorithms they do not control.

The infrastructure that once enabled the market can gradually become powerful enough to extract more from it.

Your Attention Is an Economic Resource

Perhaps the easiest form of extraction to recognise is attention.

The modern digital economy has become exceptionally good at converting human attention into money.

Every additional minute spent scrolling creates another opportunity to display advertising, collect behavioural signals or encourage another transaction.

This creates a peculiar economic incentive.

A platform does not necessarily need to make you happier.

It needs to make you stay.

That distinction helps explain why notifications, infinite scrolling, recommendation systems and personalised feeds have become such important parts of digital product design.

Human attention is finite.

Yet some of the world’s largest companies have built businesses whose growth depends partly on capturing more of it.

Then Came Artificial Intelligence

Generative AI makes Wu’s argument even more interesting.

AI companies need enormous quantities of computing power, capital and data. At the same time, millions of people are beginning to pour substantial amounts of intellectual activity into AI systems.

We ask them to analyse documents, improve software, challenge business ideas, develop strategies, summarise research and help us think.

That creates new questions about the relationship between the individual and the platform.

What happens to the information we provide? How is it stored? Under what conditions might it be used? What rights does the user retain? What value does the platform derive from millions of interactions with its users?

The answers differ between companies, products and account types. It would therefore be misleading to suggest that every AI company simply takes every prompt and trains its models on it.

But Wu’s broader framework provides a useful lens.

As AI platforms become increasingly embedded in professional and intellectual life, society will need to pay closer attention to who captures the economic value created around them.

The Extraction Economy

This is where the argument becomes bigger than technology.

Wu’s concern is that platform economics can produce a two-tiered economy.

At the top sit organisations controlling the infrastructure through which enormous amounts of economic activity pass. Beneath them sit businesses, workers, creators and consumers who increasingly depend on those platforms to participate in the economy.

The issue is therefore not simply that technology companies make large profits.

Successful companies are supposed to make profits.

The more difficult question is whether concentrated platform power allows companies to capture an increasingly large share of the value produced by everybody operating around them.

That is the difference between creating value and extracting value.

But We Should Be Careful

There is an important counterargument.

Google Search is useful. Smartphones are useful. Online marketplaces have allowed small businesses to reach customers around the world. Social platforms have given creators access to audiences that previous generations could only have reached through newspapers, broadcasters and publishers. Artificial intelligence is already allowing individuals and small organisations to perform tasks that previously required considerable resources.

These platforms do create value.

The serious debate is therefore not whether technology is good or bad.

It is about the bargain.

How much value does the platform create, how much does it capture, and how much remains with the people who make the ecosystem valuable in the first place?

That is a much harder question.

The Bigger Picture

The early internet carried an extraordinary promise.

Digital technology would remove gatekeepers, democratise information and allow individuals to participate more freely in the economy.

Wu’s warning is that we may instead have created a new generation of gatekeepers, except these organisations operate at a scale previous gatekeepers could scarcely have imagined.

The challenge is not necessarily to dismantle the digital economy.

It is to ensure that the extraordinary wealth generated by platforms and artificial intelligence does not flow overwhelmingly towards the small number of organisations controlling the infrastructure.

Perhaps that is why the idea of an “Age of Extraction” resonates.

We can see the extraordinary things technology gives us.

Wu is asking us to pay considerably more attention to what we give it in return.

The most important question in the digital economy may no longer be whether a service is free. It may be understanding the true price we are paying for it.